Exploring perspectives, preferences and needs of a telemonitoring program for women at high risk for preeclampsia in a tertiary health facility of Karachi: a qualitative study protocol
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: In Pakistan, deaths from preeclampsia/eclampsia (PE/E) represent one-third of maternal deaths reported at tertiary care hospitals. To reduce the morbidity and mortality associated with PE/E, an accessible strategy is to support pregnant women at high risk for preeclampsia (HRPE) by closely monitoring their blood pressures at home (i.e., telemonitoring) for the earliest signs of preeclampsia. This could lead to the earliest possible detection of high blood pressure, resulting in early intervention such as through medications, hospitalization, or delivery of the baby. The study aims to explore the perspectives, preferences and needs of telemonitoring (TM) for pregnant women at HRPE in Karachi, to inform future implementation strategies. METHODS: The study will employ an exploratory qualitative research design. The study will be conducted at the Jinnah Postgraduate Medical Centre (JPMC) hospital and Aga Khan University Hospital (AKUH) in Karachi, Sindh, Pakistan. Data will be collected through key-informant interviews (KIIs) and in-depth patient interviews (IDPIs). IDPIs will be conducted with the pregnant women at HRPE who are visiting the out-patient department/ antenatal clinics of JPMC hospital for antenatal check-ups and immunizations. KIIs will be conducted with the obstetricians, Maternal, neonatal and child health (MNCH) specialists and health care providers at JPMC, as well as TM experts from Karachi. Study data will be analyzed through conventional content analysis. Interviews are anticipated to begin in April 2020 and to be completed during the summer of 2020. DISCUSSION: This is the first study to explore the use of TM program for pregnant women at HRPE in a tertiary health facility in Karachi. The research will help explore perceived benefits associated with the use of a TM program alongside potential facilitators and barriers that may help inform the future implementation of a TM program for pregnant women at HRPE in Karachi.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it